Abstract: This research work introduces a clustering-based in-place sorting algorithm, cluster sort. It is designed in such a way that it improves sorting efficiency by using data locality. It works ...

Hefei National Research Center for Physical Sciences at the Microscale and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, ...

A deal to prevent a US TikTok ban is now in place. The app’s algorithm will be copied, overseen by Oracle, and retrained using only American user data. This new, separate system addresses national ...

Engineering fundamentals aren’t just for computer science students. They pay huge dividends in both your systems’ service levels and your company’s balance sheet. As an industry, we’ve gotten good at ...

In his 1960 book Theory and Design in the First Machine Age, the critic and historian Reyner Banham presciently noted a growing chasm between technological change and the capacity of designers to ...

NEW YORK, July 9 (Reuters) - TikTok is preparing to launch a standalone app for U.S. users that is expected to operate on a separate algorithm and data system from its global app, laying the ...

In a bid to overcome shortcomings in scientific computing, Chinese scientists have unveiled a new approach to sorting data that promises both higher speed and lower energy consumption. The system ...

Artificial intelligence (AI)-powered algorithms to analyze data collected on a smartphone app could predict whether a person with multiple sclerosis (MS) will experience certain high-severity symptoms ...

Abstract: Key-value (KV) stores have become a major storage infrastructure on which databases, file systems, and other data management systems are built. To support efficient indexing and range search ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

Machine learning, particularly the training of large foundation models, relies heavily on the diversity and quality of data. These models, pre-trained on vast datasets, are the foundation of many ...